Marc Schulder

Marc Schulder

Research Associate in Computational Linguistics

Institute for German Sign Language, Hamburg University

About me

I am a researcher in computational linguistics. After submitting my dissertation on the bootstrapped creation of lexica for sentiment polarity shifters in early 2019, I have now moved into the field of sign language research. As part of the DGS-Korpus project I develop computational methods for the analysis, automatic classification and assisted annotation of German Sign Language (DGS).

Previously I have worked on sentiment analysis, metaphor recognition, and context integration in speech recognition.

I am also the developer of BibTexNanny, a tool that helps you keep your BibTeX bibliography clean and consistent, as well as create streamlined versions of it for individual documents.

Interests

  • Sign Language Linguistics
  • Sentiment Analysis
  • Applied Machine Learning

Education

  • PhD in Computational Linguistics, 2019

  • MSc in Language Science and Technology, 2013

  • BSc in Computational Linguistics, 2011

Recent Publica­tions

(2020). Automatic Generation of Lexica for Sentiment Polarity Shifters. In Journal of NLE.

PDF Dataset Project DOI

(2020). Data Statement for the Public DGS Corpus. Project Note AP06-2020-01.

PDF Dataset Project DOI

(2020). Extending the Public DGS Corpus in Size and Depth. In SignLang@LREC 2020.

PDF Dataset Project

(2020). ATC-Anno: Semantic Annotation for Air Traffic Control with Assistive Auto-Annotation. In LREC 2020.

PDF Code Project

CV

 
 
 
 
 

Research Associate

Institute for German Sign Language
Hamburg University

March 2019 – Present Hamburg, Germany
 
 
 
 
 

Doctoral Studies in Computational Linguistics

Department of Language Science and Technology
Saarland University

November 2013 – August 2019 Saarbrücken, Germany
 
 
 
 
 

Contact

Marc Schulder